R/mvn.R
useparamsmvn.RdUse Parameters for Data Generated from a Multivariate Normal Distribution
useparamsmvn(taskid)
| taskid | Numeric. Task ID. |
|---|
The simple mediation model is given by $$ y_i = \delta_y + \dot{\tau} x_i + \beta m_i + \varepsilon_{y_{i}} $$
$$ m_i = \delta_m + \alpha x_i + \varepsilon_{m_{i}} $$
The parameters for the mean structure are $$ \boldsymbol{\theta}_{\text{mean structure}} = \left\{ \mu_x, \delta_m, \delta_y \right\} . $$
The parameters for the covariance structure are $$ \boldsymbol{\theta}_{\text{covariance structure}} = \left\{ \dot{\tau}, \beta, \alpha, \sigma_{x}^{2}, \sigma_{\varepsilon_{m}}^{2}, \sigma_{\varepsilon_{y}}^{2} \right\} . $$
Other multivariate normal data functions:
mvn_dat_simulation(),
mvn_dat_task(),
mvn_dat(),
mvn(),
setparamsmvn(),
vm_mod_dat_simulation_simulation_summary(),
vm_mod_dat_simulation_task_summary(),
vm_mod_dat_simulation(),
vm_mod_dat_task(),
vm_mod_dat(),
vm_sev_dat_simulation_simulation_summary(),
vm_sev_dat_simulation_task_summary(),
vm_sev_dat_simulation(),
vm_sev_dat_task(),
vm_sev_dat()
Ivan Jacob Agaloos Pesigan
useparamsmvn(taskid = 1)#> $taskid #> [1] 1 #> #> $n #> [1] 1000 #> #> $reps #> [1] 5000 #> #> $taudot #> [1] 0.1414214 #> #> $beta #> [1] 0.7140742 #> #> $alpha #> [1] 0.7140742 #> #> $alphabeta #> [1] 0.509902 #> #> $sigma2x #> [1] 225 #> #> $sigma2epsilonm #> [1] 110.2721 #> #> $sigma2epsilony #> [1] 73.3221 #> #> $mux #> [1] 100 #> #> $deltam #> [1] 28.59258 #> #> $deltay #> [1] 14.45045 #> #> $M #> x m y #> 100.00000 28.59258 14.45045 #> #> $A #> x m y #> x 0.0000000 0.0000000 0 #> m 0.7140742 0.0000000 0 #> y 0.1414214 0.7140742 0 #> #> $S #> x m y #> x 225 0.0000 0.0000 #> m 0 110.2721 0.0000 #> y 0 0.0000 73.3221 #> #> $mutheta #> x m y #> 100 100 100 #> #> $Sigmatheta #> x m y #> x 225.0000 160.6667 146.5477 #> m 160.6667 225.0000 183.3884 #> y 146.5477 183.3884 225.0000 #>